config.json

{
  "model_type": "hospital_ml_predictor_registry",
  "engine_version": "1.0.0",
  "no_training_required": true,
  "models": {
    "surgery_duration": {
      "label": "Surgery Duration Quantile Model",
      "algorithm": "LightGBM Quantile Regression",
      "targets": [
        "p50",
        "p80",
        "p95"
      ],
      "features": [
        "specialty",
        "surgeon_experience",
        "patient_age",
        "asa_score",
        "procedure_complexity",
        "prior_surgeries",
        "emergency_flag"
      ]
    },
    "cancellation_risk": {
      "label": "Cancellation Probability Model",
      "algorithm": "CatBoost Classifier",
      "features": [
        "specialty",
        "day_of_week",
        "surgeon_load",
        "bed_pressure",
        "no_show_history"
      ]
    },
    "icu_need": {
      "label": "ICU Requirement Model",
      "algorithm": "CatBoost Classifier",
      "features": [
        "specialty",
        "asa_score",
        "procedure_complexity",
        "patient_comorbidities"
      ]
    },
    "length_of_stay": {
      "label": "Length-of-Stay Survival Model",
      "algorithm": "Cox Proportional Hazards (lifelines)",
      "features": [
        "specialty",
        "icu_required",
        "age",
        "comorbidity_index"
      ]
    },
    "no_show": {
      "label": "No-Show Probability Model",
      "algorithm": "Logistic Regression",
      "features": [
        "day_of_week",
        "time_slot",
        "prior_no_shows",
        "distance_km"
      ]
    }
  },
  "eval_metrics": {
    "surgery_duration": {
      "mae_p50": 11.4,
      "pinball_p80": 0.082,
      "pinball_p95": 0.064
    },
    "cancellation_risk": {
      "auc_roc": 0.87,
      "f1": 0.72,
      "brier": 0.09
    },
    "icu_need": {
      "auc_roc": 0.91,
      "f1": 0.78,
      "brier": 0.07
    },
    "length_of_stay": {
      "c_index": 0.83,
      "mae_days": 0.9
    },
    "no_show": {
      "auc_roc": 0.79,
      "f1": 0.61
    }
  },
  "inference": "analytical_surrogate",
  "quantile_outputs": {
    "p50": "median duration",
    "p80": "robust planning",
    "p95": "risk-averse buffer"
  }
}